Computer Vision Art Gallery

ICCV 2019, Seoul, Korea

Harshit Agrawal

Masked Reality, (2018)


In this series, I create Artificial Intelligence/ Machine Learning generated faces drawing inspiration from traditional mask cultures of southern regions of India. Faces of the audience are converted to these faces in real-time using face tracking and image to image translation computer vision technology. These faces are then converted to 3D masks, again using face tracking technology, through the work done by Jackson et al [1], thereby giving the audience a unique 3D model which they can 3D print.

Throughout our years of existence as a culture, we’ve crafted and performed several kinds of rituals and ceremonies, both collective and individualistic as acts of transformation and transcendence. Masks and face transformative decorations have been fundamental across cultures in our journeys into unknown realms, in our celebrations of the malleability of human representation, or as a tool for practical disguise and entertainment. It helps us engage with our world from a completely new vantage point, augmenting our sense of self, very similar to what technology, especially AI enables today. What happens when these media of transcendence collide? Can we teach machines about our cultural heritage, and as a result make them an instrument for our own exploration and engagement with our heritage. Masked Reality 3d Masked Reality 3d 2